Personalisation in Highly Dynamic Grid Services Environments

Personalisation in Highly Dynamic Grid Services Environments

Edgar Jembere (University of Zululand, South Africa), Matthew O. Adigun (University of Zululand, South Africa) and Sibusiso S. Xulu (University of Zululand, South Africa)
DOI: 10.4018/978-1-60566-246-6.ch013
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Human Computer Interaction (HCI) challenges in highly dynamic computing environments can be solved by tailoring the access and use of services to user preferences. In this era of emerging standards for open and collaborative computing environments, the major challenge that is being addressed in this chapter is how personalisation information can be managed in order to support cross-service personalisation. The authors’ investigation of state of the art work in personalisation and context-aware computing found that user preferences are assumed to be static across different context descriptions whilst in reality some user preferences are transient and vary with changes in context. Further more, the assumed preference models do not give an intuitive interpretation of a preference and lack user expressiveness. This chapter presents a user preference model for dynamic computing environments, based on an intuitive quantitative preference measure and a strict partial order preference representation, to address these issues. The authors present an approach for mining context-based user preferences and its evaluation in a synthetic m-commerce environment. This chapter also shows how the data needed for mining context-based preferences is gathered and managed in a Grid infrastructure for mobile devices.
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Given the accelerating pace of globalisation, liberalisation of market places, and the emergence of global e-market places, traditional boundaries no longer separate the vendor from the purchaser and competition has intensified. This makes it difficult for Small, Medium and Micro Enterprises (SMME) to survive competition from other well resourced enterprises, which can easily integrate state of the art IT solution in to their business operations. Neither adoption of enterprise-wide applications nor devising an enterprise-wide IT strategy has occurred for SMMEs in the world over. To remain in business, SMMEs must be able to identify the ICT infrastructures required to improve performance and global competitiveness. Unfortunately, most SMMEs lack the capacity to own ICT infrastructure and they are more conservative to adopt ICT infrastructure before they can be sure of the return on such investments.

Thus in summary, SMME ICT solution should be affordable, easy to use, bring fast Return On Investment (ROI), and require a short implementation cycle whilst giving them a competitive edge at minimum cost. Our core research niche area is aimed at providing just that through the Grid Utility Infrastructure for SMME Enabling Technologies (GUISET) (Migiro & Adigun, 2005), which employs a service oriented on-demand computing paradigm based on the utility Grid technology. In this technology SMMEs need not own the infrastructure but they can pay for what they use when they use it.

The emergence of the mobile telephony technology, with its affordability and ability to transfer data wirelessly is one of the key SMME enabling technologies that the GUISET infrastructure adopts to limit the hardware acquisition problem. Paradoxically, mobile computing presents both a dramatic step forward and a significant step backward from an information or service access standpoint. Mobile devices are hardly ideal information or services access devices owing to some constraints brought about by mobility. Context-awareness and personalisation have been adopted over the past decade as the solution to make mobile devices better computing devices. Context awareness involves the use of the context information to provide “relevant information and/or services to the user, where relevance depends on the user’s task” (Dey & Abowd, 2000). Personalisation in our case involves tailoring the access and use of the web or grid services to user preferences. Unfortunately, user preferences in dynamic computing environments are heavily dependent on the dynamic user, environmental and application context (Gorgoglione et al, 2006). The major challenge to achieving advanced personalisation in this case is how we can make use of contextual information and exploit the change of context in the personalisation process, which most of the work on personalisation do not address. Attempts to address this problem from context-aware computing rather than from personalisation perspective, have led to the current mix-up between context and personalisation. Personalisation in mobile computing should contextually adapt content or services in order to enhance the quality of the user’s interaction with the applications.

Traditionally, user preferences are captured in to the system explicitly from the users. However, given the fact that in dynamic computing environments, user preferences depend on the user, environment and application context, it will be a very cumbersome exercise for users to explicitly give their preferences for each and every context. Data mining is widely seen as the solution to this challenge. Over the past decade a lot of work has been done in the use of data mining techniques for automatically extracting user preferences from user session data. However, the mined user preferences are only as accurate as the preference model on ground. Data mining based preference models lack preference measures that give an intuitive measure and interpretation of a preference (Jung et al, 2005). Most user preference measures use scores or just distinguish liked and disliked items (Holland et al, 2003). Furthermore, most of the existing preferences models are found wanting when it comes to representing real user preferences because they lack user expressiveness, “I prefer A to B” semantics (Kiessling, 2002).

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Editorial Advisory Board
Table of Contents
Chapter 1
Teemu Saarelainen
The amount of information surrounding us is ever increasing. Usable information is our most valuable asset both in our professional and personal... Sample PDF
Open Formats, Open Information and Future Trends in Software Engineering
Chapter 2
Chia-Chu Chiang
Documents are perfectly suited for information exchange via the Internet. In order to insure that there are no misunderstandings, information... Sample PDF
Engineering Information Into Open Documents
Chapter 3
Dwayne Rosenburgh
This chapter presents a look at the decision-making methods used by real-life, collegial, high-achieving, technical teams and organizations. One may... Sample PDF
Decision-making as a Facilitator of High-achievement in Non-hierarchical Technical Environments
Chapter 4
Khaled Ahmed Nagaty
The purpose of this chapter is to discuss the relationship between three entities: hierarchical organization, information management and human... Sample PDF
Hierarchical Organization as a Facilitator of Information Management in Human Collaboration
Chapter 5
Christine B. Glaser, Amy Tan, Ahmet M. Kondoz
Managing information collaboratively in an open and unbounded environment without an information management application influenced and challenged... Sample PDF
An Intelligent Information Management Tool for Complex Distributed Human Collaboration
Chapter 6
Lobna Hsairi, Khaled Ghédira, Adel M. Alim, Abdellatif BenAbdelhafid
In the age of information proliferation, openness, open information management, interconnectivity, collaboration and communication advances... Sample PDF
R2-IBN: Argumentation Based Negotiation Framework for MAIS-E2 model
Chapter 7
Pauli Brattico, Mikko Maatta
Automatic natural language processing captures a lion’s share of the attention in open information management. In one way or another, many... Sample PDF
Natural Language Parsing: New Perspectives from Contemporary Biolinguistics
Chapter 8
Sune Lehmann
A network structure of nodes and links is an informative way to study information systems. The network representation is valuable because it encodes... Sample PDF
Structures in Complex Bipartite Networks
Chapter 9
Juha Kesseli, Andre S. Ribeiro, Matti Nykter
In this chapter the authors study the propagation and processing of information in dynamical systems. Various information management systems can be... Sample PDF
Measuring Information Propagation and Processing in Biological Systems
Chapter 10
Yacine Benahmed, Sid-Ahmed Selouani, Habib Hamam
In the context of the prodigious growth of network-based information services, messaging and edutainment, we introduce new tools that enable... Sample PDF
Natural Human-System Interaction Using Intelligent Conversational Agents
Chapter 11
Marko Helén, Tommi Lahti, Anssi Klapuri
The purpose of this chapter is to introduce tools for automatic audio management. The authors present applications which are already available for... Sample PDF
Tools for Automatic Audio Management
Chapter 12
Susmit Bagchi
Due to the advancement of hardware technologies and mobile communication systems, the mobile devices are transforming into multimedia devices... Sample PDF
PUM: Personalized Ubiquitous Multimedia
Chapter 13
Edgar Jembere, Matthew O. Adigun, Sibusiso S. Xulu
Human Computer Interaction (HCI) challenges in highly dynamic computing environments can be solved by tailoring the access and use of services to... Sample PDF
Personalisation in Highly Dynamic Grid Services Environments
Chapter 14
Josef Makolm, Silke Weiss, Doris Ipsmiller
Efficient and effective knowledge management plays an increasingly important role in knowledge intensive organizations. The research project... Sample PDF
DYONIPOS: Proactive Support of Knowledge Workers
Chapter 15
Juhana Kokkonen
In this chapter the open-source based collaboration model of Finnish Wikipedia is examined from the perspective of user culture, which is the... Sample PDF
User Culture, User-System Relation and Trust – The Case of Finnish Wikipedia
Chapter 16
Cristina Melchiors, Lisandro Zambenedetti Granville, Liane Margarida Rockenbach Tarouco
The use of information management tools in open and unbounded operational environments demands an efficient and robust communication infrastructure... Sample PDF
P2P-Based Management of Collaboration Communication Infrastructures
Chapter 17
John Tsiligaridis
The problem of server performance in a contemporary, rapidly developed and multi-discipline environment is examined. Multiple requests in a very... Sample PDF
A Framework for Semi-Autonomous Servers in the Wireless Network Environment
Chapter 18
Rakesh Biswas, Kevin Smith, Carmel M. Martin, Joachim P. Sturmberg, Ankur Joshi
This chapter discusses the role of open health information management in the the development of a novel, adaptable mixed-platform for supporting... Sample PDF
Open Information Management in User-driven Health Care
Chapter 19
Michael Losavio, Adel Elmaghraby, Deborah Keeling
The global interconnected information space offers unprecedented ways of accessing and analyzing information. New infringements of the rights of... Sample PDF
Information Management: Jurisdictional, Legal and Ethical Factors
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